000 04326nam a22007095i 4500
001 305412
003 IT-RoAPU
005 20250106151003.0
006 m|||||o||d||||||||
007 cr || ||||||||
008 240826t20202020xxu fo d z eng d
020 _a9781683925927
_qprint
020 _a9781683925910
_qEPUB
020 _a9781683925903
_qPDF
024 7 _a10.1515/9781683925903
_2doi
035 _a(DE-B1597)9781683925903
035 _a(DE-B1597)653866
035 _a(OCoLC)1235959873
040 _aDE-B1597
_beng
_cDE-B1597
_erda
050 4 _aHD30.23
_b.F678 2020
072 7 _aCOM021030
_2bisacsh
082 0 4 _a658.403
_223
084 _aonline - DeGruyter
100 1 _aFortino, Andres
_eautore
245 1 0 _aData Analysis for Business Decisions :
_bA Laboratory Manual /
_cAndres Fortino.
264 1 _aDulles, VA :
_bMercury Learning and Information,
_c[2020]
264 4 _c2020
300 _a1 online resource (166 p.)
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 0 _tFrontmatter --
_tContents --
_tPreface --
_tChapter 1 Shaping and Cleaning Data --
_tChapter 2 Installing the Analysis ToolPak --
_tChapter 3 Descriptive Statistics --
_tChapter 4 Histograms --
_tChapter 5 Pareto Analysis --
_tChapter 6 Scatter Plots --
_tChapter 7 Correlation and Linear Regression --
_tChapter 8 Multivariate Regression --
_tChapter 9 Forecasting and Time Series --
_tChapter 10 Inferential Statistics --
_tChapter 11 Contingency Analysis --
_tChapter 12 A/B Testing --
_tChapter 13 Text Analytics --
_tChapter 14 Analyzing Big Data Sets --
_tChapter 15 Data Visualization --
_tChapter 16 Summary of Analysis Techniques --
_tIndex
506 0 _arestricted access
_uhttp://purl.org/coar/access_right/c_16ec
_fonline access with authorization
_2star
520 _aThis laboratory manual is intended for business analysts who wish to increase their skills in the use of statistical analysis to support business decisions. Most of the case studies use Excel, today's most common analysis tool. They range from the most basic descriptive analytical techniques to more advanced techniques such as linear regression and forecasting. Advanced projects cover inferential statistics for continuous variables (t-Test) and categorical variables (chi-square), as well as A/B testing. The manual ends with techniques to deal with the analysis of text data and tools to manage the analysis of large data sets (Big Data) using Excel. Includes companion files with solution spreadsheets, sample files, data sets, etc. from the book. Features: Teaches the statistical analysis skills needed to support business decisions Provides projects ranging from the most basic descriptive analytical techniques to more advanced techniques such as linear regression, forecasting, inferential statistics, and analyzing big data sets Includes companion files with solution spreadsheets, sample files, data sets, etc. used in the book's case studies The companion files are available online by emailing the publisher with proof of purchase at info@merclearning.com.
530 _aIssued also in print.
538 _aMode of access: Internet via World Wide Web.
546 _aIn English.
588 0 _aDescription based on online resource; title from PDF title page (publisher's Web site, viewed 26. Aug 2024)
650 0 _aBusiness
_xData processing.
650 0 _aBusiness
_xDecision making.
650 0 _aManagement
_xData processing.
650 0 _aStrategic planning
_xData processing.
650 4 _aData.
650 4 _aManagement / Teams/ Leadership.
650 4 _aMarketing / Public Relations.
650 7 _aCOMPUTERS / Database Management / Data Mining.
_2bisacsh
653 _aA/B testing.
653 _aAnalysis Toolpak.
653 _abig data sets.
653 _adescriptive statistics.
653 _aforecasting.
653 _ahistograms.
653 _amultivariate regression.
653 _apareto analysis.
653 _ascatter plots.
850 _aIT-RoAPU
856 4 0 _uhttps://doi.org/10.1515/9781683925903
856 4 0 _uhttps://www.degruyter.com/isbn/9781683925903
856 4 2 _3Cover
_uhttps://www.degruyter.com/document/cover/isbn/9781683925903/original
942 _cEB
999 _c305412
_d305412